Taylor Weidman

Taylor Weidman is a Teaching Assistant Professor at the University of Pittsburgh's Department of Economics. He teaches introductory/intermediate microeconomics, game theory, and economic data analysis. His research focuses on Political Economy, Applied Microeconomics, and Experimental Economics, with active projects on voter behavior networks and strategic uncertainty in lab experiments.

• Education: BA (2013) - Economics; MS (2016) - Economics (Iowa State University); PhD (2024) - Economics (University of Pittsburgh)

Research emphasizes voter turnout dynamics through residential networks, algorithmic innovations for panel data analysis, and experimental methods to study cooperation in social dilemmas. Active in open-source software development for academic applications, including voter panel pipelines and experimental platforms. Maintains a YouTube channel with economics animations.

Current projects include the Geographic Voter Panel data infrastructure, oTree-based experimental frameworks, and educational tools like T+1 Presenter and Open Grader.